code: def _get_flist(root: str, file_path: str, subset: str) -> List[str]:
      f_list = []
      if subset == "train":
          index = 1
      elif subset == "dev":
          index = 2
      else:
          index = 3
      with open(file_path, "r") as f:
          for line in f:
              id, path = line.split()
              if int(id) == index:
                  f_list.append(path)
      return sorted(f_list)
  
imports: import os
  from pathlib import Path
  from typing import List, Tuple, Union
  from torch import Tensor
  from torch.utils.data import Dataset
  from torchaudio._internal import download_url_to_file
  from torchaudio.datasets.utils import _extract_zip, _load_waveform
label_desc: Use image node_id 2 for calling a global function with example usage: _get_flist(root, file_path, subset) and returns: sorted